Clinical trial · Interventional
Feasibility Study of Anatomical Modeling for Image Guided Thoracic Surgery
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
This clinical trial assesses the feasibility of creating a 3 dimensional (D) model of the lung and lung nodule(s) from computed tomography (CT) scan images performed during lung surgery. Unlike solid organs (like the kidney, brain, and liver), the lung changes shape (they inflate when a person breathe in and collapse when they breathe out). This makes it difficult to predict where, exactly, the tumor(s) will be on the lungs during surgery. A 3D model may help surgeons better predict where the location of the tumor(s) will be during surgery.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Lung Neoplasm | Lung Neoplasm | ONTOLOGY_EXACT | 0.98 |
Interventions
Interventions (2)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Computed Tomography | Procedure | — | UNRESOLVED |
| Therapeutic Conventional Surgery | Procedure | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- type
- EXPERIMENTAL
- label
- Diagnostic (CT)
- description
- Patients undergo 4 CT scans during standard of care surgery.
- interventionNames
- Procedure: Computed Tomography
- Procedure: Therapeutic Conventional Surgery
Primary outcomes (1)
- measure
- Feasibility of anatomical modeling for image guided thoracic surgery
- timeFrame
- Up to 1 year
- description
- The geometrical accuracy of the models for localizing the tumor will be quantified. The study is feasible if tumors for all 10 patients can be located with accuracy of within 1 cm or less. Anatomical modeling for image guided thoracic surgery will be considered feasible if researchers are able to determine the location of the tumor in a deflated lung to within the accuracy required by the surgeon for clinical use.
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: * Patients must have previous CT images demonstrating a lung mass or masses amenable to lung resection (open or minimally invasive) * Patient is scheduled for surgical resection in a room equipped with intraoperative CT * Patient must sign informed consent, with risks and benefits of CT imaging explained * Patients with lung tumors \>= 1cm to =\< 3 cm based on preoperative CT scan. (Patients with lung tumors from \< 1 cm or \> 3 cm will be reviewed and approved for inclusion on an individual assessment by clinical collaborators) Exclusion Criteria: * Pediatric patients less than 18 years of age * Patients who have undergone previous ipsilateral thoracic surgery, sclerotherapy, or radiation therapy as intraoperative adhesions may limit lung collapse intraoperatively * Patients who received neoadjuvant immunotherapy * Women who are pregnant or nursing
References
Publications (0)
Data not yet available